content area top Part 1 A bottle contains a label stating that it contains pills with 500 mg of vitamin C, and another bottle contains a label stating that it contains pills with 325 mg of aspirin. When testing claims about the mean contents of the pills, which would have more serious implications: rejection of the vitamin C claim or rejection of the aspirin claim? Considering only a type I error and using the same sample size, is it wise to use the same significance level for hypothesis tests about the mean amount of vitamin C and the mean amount of aspirin? Question content area bottom Part 1 Rejection of the claim about vitamin C aspirin is more serious because the wrong aspirin vitamin C dosage could cause more serious adverse reactions than a wrong vitamin C aspirin dosage. It would be wise to use a larger smaller significance level for testing the claim about the aspirin